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Online MSc Data Science

Unlock new opportunities in the digital arena with an online degree from London’s top modern university.

Start Dates: January, March, June, September

Duration: 2 years part-time

Study Mode: Online

Fees: £9,000 (regional discounts available)

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Embrace the future of technology with our Online MSc in Data Science, where you’ll master the art of transforming complex data into actionable insights. On this degree, you can expect to explore cutting-edge topics like artificial intelligence, data visualisation, and big data analytics, equipping yourself with the skills to lead in a data-driven world.

You’ll gain hands-on experience working with real-world data sets, preparing you for diverse applications across various industries, from finance to social policy.

The MSc Data Science is delivered through the university’s Moodle virtual learning environment, combining live and pre-recorded lectures, interactive quizzes, discussion forums, and collaborative group activities. The platform supports a blended approach – you engage with content at your own pace while participating in scheduled seminars and peer discussions that bring your learning to life.

As a part-time programme, you should expect to dedicate approximately 15-20 hours per week across directed learning, independent study, and assessment preparation. The programme is structured across two years, giving you time to absorb complex technical material alongside your professional commitments.

Assessment combines theoretical understanding with practical application. You will work through programming assignments, data analysis projects, machine learning experiments, interactive workshops, and individual written submissions. The programme emphasises hands-on work with real-world datasets, so you develop skills that are immediately applicable in professional settings. The programme culminates in an MSc Project, where you conduct an independent data science investigation.

You will receive tailored feedback and guidance from your academic tutors throughout each module. A dedicated student support team is available for academic, technical, and administrative queries. Beyond graduation, Roehampton’s Careers Support Team offers personalised guidance, workshops, networking events, and one-on-one coaching to help you take the next step in your career.

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To be eligible for this online degree, you must normally hold a second-class honours degree in a STEM subject. You should have a background in computing or computer science, gained through previous study or relevant professional experience. Applicants with a third-class honours degree or significant work experience may also be considered on a case-by-case basis.

Our programmes are taught in English. If you’re applying as an international student, you’ll need to provide evidence of your proficiency with a valid qualification issued within the last two years.

  • IELTS Academic – 6.5 overall
  • Roehampton’s English Language Test – 6.5 overall
  • Kaplan Test of English – 478-509 overall 
  • TOEFL IBT – 89 overall
  • PTE Academic – 59 overall
  • Cambridge – 176 overall

Every 20-credit module gives you the chance to test ideas, solve problems, and apply what you learn straight into your work. Studying online with Roehampton means you’re part of an active learning community where theory meets practice, and where your day-to-day experience becomes part of the classroom.

Explore the mathematical foundations essential for data science, covering topics like statistics, probabilities, calculus, and linear algebra. Equip yourself with the analytical tools necessary for understanding machine learning algorithms and data-driven decision-making.

Delve into the fundamentals of data analysis, learning to interpret raw datasets to uncover trends and inform strategic decisions. Master algorithms, descriptive statistics, and data wrangling techniques to optimise processes in various sectors.

Explore the dynamic landscape of machine learning, focusing on diverse methodologies, such as decision trees and neural networks. Learn to evaluate system performance and address ethical implications to implement machine learning solutions across various industries.

Discover the principles and techniques of effective data visualisation, combining art and science to present insights compellingly. Engage in
design, cognitive foundations, and user evaluation to create interactive visualisations that communicate data effectively across diverse platforms.

Examine the transformative impact of data science across multiple industries, from finance to e-commerce. Engage with real-life applications to develop essential data science techniques, equipping you with a range of career opportunities in this dynamic and ever-evolving field.

Deepen your understanding of technologies driving innovations in various sectors, from autonomous vehicles to healthcare. Apply machine learning concepts to tackle complex challenges, enhancing your ability to develop and implement solutions that leverage deep learning techniques effectively.

Research an issue of your choice and apply your learning to real-world challenges. With guidance from an academic supervisor, you’ll sharpen your critical thinking and analytical skills while demonstrating expertise in areas such as emerging technologies, ethics, or risk management.

Tuition fees for the MSc Data Science are £9,000 for the full programme. Fees cover all teaching, learning materials, assessments, and access to student support services. Regional discounts may be available depending on your location – check your individual programme page or speak with a student recruitment adviser for details.

Roehampton graduates are eligible for a 20% tuition fee discount when returning for postgraduate study online. This is the only university discount available for 100% online programmes. It cannot be combined with other scholarship offers.

UK residents may be eligible for a Postgraduate Master’s Loan through the UK Government, worth up to £12,167. The loan is not means-tested and can be used towards tuition fees and living costs. Visit gov.uk/masters-loan to check your eligibility and apply.

International students are required to pay an initial deposit (IDP) before making the full deposit payment (FDP). This deposit is deducted from your tuition fees when you enrol. Full payment details are confirmed in your offer letter. Contact the student recruitment team if you have questions about international payment arrangements.

Data science consistently ranks among the most sought-after and highest-paid specialisms in the technology sector. As organisations across every industry invest in data infrastructure and AI capabilities, the demand for qualified data scientists continues to outstrip supply. The MSc Data Science gives you the technical skills to enter and advance in this field.

The programme’s depth in data science, machine learning, and deep learning prepares you for technical and analytical roles, including:

  • Data scientist – designing experiments, building models, and extracting insights from complex datasets
  • Data analyst – analysing and interpreting data to inform business decisions and strategy
  • Machine learning engineer – developing and deploying machine learning models in production environments
  • Business intelligence analyst – transforming raw data into actionable business insights and reporting
  • Quantitative analyst – applying statistical methods and data modelling in finance, insurance, or risk management

Roehampton’s Careers Support Team is available to online students from day one through to beyond graduation. Services include personalised one-on-one coaching, tailored workshops, employer networking events, and guidance on CV writing, interview preparation, and career planning.

Data science is not a niche specialism – it is a foundational capability for modern organisations. Professionals with data science skills are employed across technology, finance, healthcare, retail, government, and research. The ability to work with data, build models, and communicate findings is one of the most transferable technical skill sets in the current job market.

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Seven modules take you from mathematical foundations through data analytics, machine learning, data visualisation, and applications of data science to advanced deep learning. You graduate with end-to-end data science capabilities, not just a surface-level introduction.

The programme emphasises practical work with real-world datasets throughout. You will build, test, and evaluate models on genuine data, developing the applied skills that employers value most.

The University of Roehampton is based in London, one of the world’s leading centres for technology, finance, and data-driven business. Your MSc carries the credibility of a London university, positioning you for data science roles in a city where demand for data professionals is consistently high.

A dedicated Deep Learning Applications module takes you beyond standard machine learning into neural networks and advanced AI techniques. This is where the cutting edge of data science lies, and it is increasingly what employers are looking for.

The programme is delivered part-time over two years, with four start dates per year, giving you the time and flexibility to develop advanced technical skills without stepping away from your career.

Your MSc is designed with industry skills and knowledge in mind, providing you with the skills you need to secure your chosen career path. Each module is carefully constructed to elevate your knowledge in key areas of data science relevant to industry standards.

Cultivate essential skills in examining diverse datasets, utilising programming algorithms and descriptive statistics to draw meaningful conclusions.

Develop expertise in applying machine learning techniques, including decision trees and neural networks, to solve complex problems and evaluate system performance.

Acquire the mathematical skills necessary for data science, focusing on statistics, probabilities, and linear algebra to formulate and analyse data-driven solutions.

Investigate real-life applications of deep learning, gaining insights into technologies that drive innovation in various industries.

Analyse the transformative impact of data science applications in sectors like marketing and healthcare, gaining hands-on experience with leading frameworks.

Create engaging visual representations of data by applying principles of design and cognitive science, while integrating web development techniques for interactive delivery.

The Roehampton difference

Internationally recognised: Earn a prestigious business degree respected by global brands and guided by industry leaders.

Flexible first: Study at the office or on your commute home with our fully online curriculum and cutting-edge virtual learning platform.

Personalised experiences: Get tailored feedback and support throughout your studies with resources ready whenever you need them.

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Support at every step

We provide bespoke support at every stage of your studies, from wellbeing and accessibility to academic guidance and career development, so you can thrive online with Roehampton.

Enquire now

Yes. The MSc Data Science is delivered entirely online and part-time over two years, specifically designed for working professionals who want to develop data science skills without leaving their role. All materials are accessible through the university's virtual learning platform. Four start dates - January, March, June, and September - give you flexibility on when you begin.

Yes. You will receive the same University of Roehampton MSc as on-campus students. Your degree certificate makes no distinction between study modes. As an online student, you are a full member of the university community with access to academic resources, the library, and dedicated student support services.

UK residents may be eligible for a Postgraduate Master's Loan through the UK Government, worth up to £12,167. The loan is not means-tested and is paid directly to you. Roehampton also offers a 20% alumni discount for graduates returning to study. For full details on eligibility and how to apply, visit the government's student finance website.

A second-class honours degree in a STEM subject with a computing or computer science background is preferred. Applicants with a third-class degree or significant relevant work experience may also be considered on a case-by-case basis. The programme builds your data science capabilities progressively from mathematical foundations through to advanced machine learning and deep learning.

The programme covers the full data science pipeline, from mathematical foundations and statistical analysis through to machine learning, deep learning, and data visualisation. You will work with real-world datasets and develop practical skills in applying data science techniques to solve genuine business and research problems.